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Action Suggester

ASecurity

Generate non-binding follow-up action suggestions from lead summaries or lead lists. Use when users ask for next best actions, call list for hot leads, or follow-up draft plan without automatic execution. Recommended chain: summary-generator then action-suggester then supervisor approval. Do not use for parsing, storage, or autonomous action execution.

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  • Added September 7, 2026
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Scanned September 7, 2026

npx -y skills add modbender/skill-library-mcp --skill action-suggester --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: action-suggester
description: "Generate non-binding follow-up action suggestions from lead summaries or lead lists. Use when users ask for next best actions, call list for hot leads, or follow-up draft plan without automatic execution. Recommended chain: summary-generator then action-suggester then supervisor approval. Do not use for parsing, storage, or autonomous action execution."
---

# Action Suggester

Produce ranked follow-up suggestions without taking any external action.

## Quick Triggers

- Suggest next actions for today's P1 leads.
- Build a call/email/visit plan from summary.
- Draft follow-up queue for unresolved high-priority leads.

## Recommended Chain

`summary-generator -> action-suggester -> supervisor confirmation`

## Execute Workflow

1. Accept input from Supervisor.
2. Validate input with `references/action-input.schema.json`.
3. Apply deterministic prioritization rules to propose follow-up items.
4. Emit actions with:
   - `action_type` in `call`, `email`, or `visit`
   - `lead_id`
   - `description`
5. Validate output with `references/action-output.schema.json`.
6. Return suggestions for human or Supervisor review only.

## Enforce Boundaries

- Never execute suggested actions.
- Never send messages, emails, or calendar invites.
- Never write to database or stateful systems.
- Never parse raw chat exports.
- Never approve its own output for execution.

## Handle Errors

1. Return an empty action list when evidence is insufficient.
2. Reject inputs that fail schema validation.
3. Surface deterministic rule conflicts in plain text diagnostics.

Files in this skill

  • SKILL.md1.6 KB
  • agents/openai.yaml234 B
  • references/action-input.schema.json3.5 KB
  • references/action-output.schema.json633 B

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